correlation analyses were used to assess correlations between serum and salivary measures in the pooled sample of boys or men and of preexercise and postexercise values. Statistical significance was accepted at P < .05, which was conducted using SPSS for Windows (version 25; SPSS Inc, Chicago, IL). All

Hande Guney-Deniz, Gulcan Harput, Ugur Toprak and Irem Duzgun

with scapular positioning. To our knowledge, there was no study in the literature that investigated the effect of active scapula retraction on AHD and its relation to shoulder and scapular muscle activation in asymptomatic individuals. Therefore, the aim of this study was to investigate the correlation

Serkan Usgu, Günseli Usgu, Fatma Uygur and Yavuz Yakut

calculated and recorded for the injured limb in this study. Statistical Analysis The descriptive statistics were calculated using percentages, means, standard deviations (SD), and ranges. The Spearman rank correlation test and intraclass correlation coefficient (ICC 2,1 ) were used for reliability testing

, with climbing training continuing at will. Pretests and posttests including climbing ability were measured as described above. Statistics Climbing ability was set as the dependent variable, whereas other variables were treated as independent. Pearson correlation coefficients assessed the relationships

Neal R. Glaviano and Susan Saliba

daily activities. The score is calculated by taking the summed score, divided by 70 (maximum potential points), and multiplied by 100. The ADLS has been shown to have excellent test–retest reliability (interclass correlation coefficient [ICC] = .93–.99) and a low measurement error of 8.3% when assessed

, the sample size was estimated to compare the variables between healthy and NCLBP groups. In the second part, the sample size was calculated to examine the correlation between the variables of interest. For the first part, the sample size was calculated according to a previous similar study by Steele

Mark Kramer, Mark Watson, Rosa Du Randt and Robert W. Pettitt

from a relevant AOT), and CS represents the average speed in the final 30 seconds of an AOT. Statistical Analyses Descriptive data are reported as mean (SD). To evaluate the consistency of measurements between protocols, we utilized the correlation coefficient ( r ) and the standard error of the

(OITL), mainly represented by the model based on the intensity zones of the heart rate (HR). 17 – 19 Separately, these measurements indicated a strong correlation with measures of external load 12 , 19 and performance in team sports. 5 , 6 However, the correlation between the internal load